{"id":"W1998925396","doi":"10.1109/asap.2007.4429952","title":"FPGA-Based Efficient Design Approach for Large-Size Two's Complement Squarers","year":2007,"lang":"en","type":"article","venue":"","topic":"Low-power high-performance VLSI design","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Royal Military College of Canada","funders":"","keywords":"Field-programmable gate array; Operand; Lookup table; Computer science; Complement (music); Realization (probability); Reduction (mathematics); Parallel computing; Arithmetic; Embedded system; Computer hardware; Mathematics; Operating system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00145842,0.0003074053,0.0002719969,0.0001682172,0.0001422015,0.00004985202,0.0002804949,0.00008162137,0.0002674352],"category_scores_gemma":[0.00002781102,0.0002792679,0.0001189561,0.0003263439,0.0000255849,0.00007079252,0.00001819001,0.0001391715,0.00007898852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002538794,"about_ca_system_score_gemma":0.0000371845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007567298,"about_ca_topic_score_gemma":0.000006324568,"domain_scores_codex":[0.9979477,0.00002463411,0.0004299754,0.0003196817,0.0003480723,0.0009299362],"domain_scores_gemma":[0.9989374,0.000374676,0.0000393637,0.0003978801,0.00007308694,0.0001775938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008605142,0.0002039559,0.0001241954,0.0001566258,0.00005708591,0.000003158988,0.0002253578,0.9800989,0.007274802,0.001354498,0.009172981,0.001242407],"study_design_scores_gemma":[0.002886737,0.0001361646,0.0002303332,0.00001320175,0.00002890465,0.000001764451,0.0001889585,0.852227,0.1347518,0.00001722571,0.009093254,0.000424637],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008833228,0.00006795617,0.9804051,0.00002961088,0.0003941542,0.001431109,0.00001974123,0.0007925286,0.008026559],"genre_scores_gemma":[0.684954,0.000001018823,0.3144821,0.0001656638,0.00008717454,0.000112267,0.00002838497,0.00006268898,0.0001067093],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6761208,"threshold_uncertainty_score":0.999966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02307726126010738,"score_gpt":0.249381457173293,"score_spread":0.2263041959131857,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}